/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.predictionio.examples.similarproduct

import org.apache.predictionio.controller.EngineFactory
import org.apache.predictionio.controller.Engine

case class Query(
  items: List[String],
  num: Int,
  categories: Option[Set[String]],
  categoryBlackList: Option[Set[String]],
  whiteList: Option[Set[String]],
  blackList: Option[Set[String]]
)

case class PredictedResult(
  itemScores: Array[ItemScore]
){
  override def toString: String = itemScores.mkString(",")
}

case class ItemScore(
  item: String,
  score: Double
)

object SimilarProductEngine extends EngineFactory {
  def apply() = {
    new Engine(
      classOf[DataSource],
      classOf[Preparator],
      Map(
        "als" -> classOf[ALSAlgorithm],
        "cooccurrence" -> classOf[CooccurrenceAlgorithm]),
      classOf[Serving])
  }
}